I know that reinforcement learning has been used to solve the inverted pendulum problem.

Can supervised learning be used to solve the inverted pendulum problem?

For example, there could be an interface (e.g. a joystick) with the cart-pole system, which the human can use to balance the pole and, at the same time, collect a dataset for supervised learning. Has this been done before?

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    $\begingroup$ Yes, you can do it, for example this paper uses YouTube videos to learn how to play difficult game Montezuma's Revenge $\endgroup$ – Brale_ Nov 29 '19 at 8:45

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